Factors influencing informal carers' acceptance of assistive telecare systems in the pre‐ and post‐implementation phase: A scoping study

Hvalič-Touzery, Simona; Dolničar, Vesna; Prevodnik, Katja

doi:10.1111/hsc.13840

Cited by 13 publications

(13 citation statements)

References 87 publications

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“…The importance of safety features and the benefits they bring to older adults (the feeling of being able to easily notify someone when needed) were also expressed by secondary users in our study. Similar results were observed in several other studies [ 15 , 47 , 48 , 92 , 93 ]. Our study also observed that the increased feeling of safety was pronounced only in those PUs who had a positive experience with the tested ST. PUs with negative experiences, who mentioned various technical problems with the solution and consequently its unreliability, indicated that the problems with the solution made them feel more stressed or that the service was of no value to them because they could not trust it to be of real help in a potential crisis situation.…”

Section: Discussionsupporting

confidence: 92%

Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study

Hvalič-Touzery

Šetinc

Dolničar

2022

IJERPH

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Accidental falls and physical inactivity are important age-related issues for which smart technologies have demonstrated potential utility. This research aimed to explore the benefits of combining wearable activity monitors and telecare for older adults. A four-month interventional study was conducted between June 2021 and February 2022 in Slovenia. A purposive sample of 22 dyads of older adults aged 60 years and over and their relatives or family members used a wearable GoLiveClip device. The Pillar Integration Process was used to analyze the quantitative and qualitative data. Seven pillars emerged: (1) the use of smart technologies as a motivator for physical activity; (2) factors related to smart technology use affecting physical activity levels; (3) increased usefulness of smart technologies for users who completed the study; (4) activity monitoring as the most useful functionality of the solution; (5) the influence of technical problems on usefulness; (6) the influence of age and previous experience with smart technologies on usefulness; and (7) moderate psychological effects of smart technology use. Activity trackers were found to effectively promote physical activity in older adults, and safety features were shown to be an important part of the solution, regardless of health status or physical activity level.

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Section: Discussionsupporting

confidence: 92%

Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study

Hvalič-Touzery

Šetinc

Dolničar

2022

IJERPH

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“…Furthermore, sustainable implementation of UM technology for home-based dementia care also depends on acceptance. It is likely that acceptance towards these technologies will vary across different (in)formal care situations [ 52 ], however, current literature does not yet provide tailored insights. Therefore, future quantitative studies on user acceptance of UM technology for home-based dementia care are warranted to better understand individual differences in acceptance.…”

Section: Discussionmentioning

confidence: 99%

How to create value with unobtrusive monitoring technology in home-based dementia care: a multimethod study among key stakeholders

2022

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Background There is a growing interest to support extended independent living of people with dementia (PwD) via unobtrusive monitoring (UM) technologies which allow caregivers to remotely monitor lifestyle, health, and safety of PwD. However, these solutions will only be viable if developers obtain a clear picture of how to create value for all relevant stakeholders involved and achieve successful implementation. The aim of this study was therefore to explore the value proposition of UM technology in home-based dementia care and preconditions for successful implementation from a multi-stakeholder perspective. Methods We conducted an expert-informed survey among potential stakeholders (n = 25) to identify key stakeholders for UM technology in home-based dementia care. Subsequently, focus groups and semi-structured interviews were conducted among 5 key stakeholder groups (n = 24) including informal caregivers (n = 5), home care professionals (n = 5), PwD (n = 4), directors and managers within home care (n = 4), and policy advisors within the aged care and health insurance sector (n = 6). The sessions addressed the value proposition- and business model canvas and were analyzed using thematic analysis. Results Stakeholders agreed that UM technology should provide gains such as objective surveillance, timely interventions, and prevention of unnecessary control visits, whereas pains mainly included information overload, unplannable care due to real-time monitoring, and less human interaction. The overall design-oriented need referred to clear situation classifications including urgent care (fall- and wandering detection), non-urgent care (deviations in eating, drinking, sleeping), and future care (risk predictions). Most important preconditions for successful implementation of UM technology included inter-organizational collaboration, a shared vision on re-shaping existing care processes, integrated care ICT infrastructures, clear eligibility criteria for end-users, and flexible care reimbursement systems. Conclusions Our findings can guide the value-driven development and implementation of UM technology for home-based dementia care. Stakeholder values were mostly aligned, although stakeholders all had their own perspective on what UM technology should accomplish. Besides, our study highlights the complexity of implementing novel UM technology in home-based dementia care. To achieve successful implementation, organizational and financial preconditions, as well as digital data exchange between home care organizations, will be important.

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“…Prior studies have extended the UTAUT model contextually. For instance, Pal et al [ 18 ] explored the main factors influencing the acceptance of smart home services for healthcare by the elderly. The authors used the original four core factors of the UTAUT model and extended it with another four contextual factors namely technology anxiety, perceived trust, perceived cost, and expert advice.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Motivated by the suggestions of [ 10 , 12 , 17 ] that future research should examine the Arab contextual factors, this study extends our understanding of the impact of culture influence, technology awareness, and other demographic factors on people’s intention to use SHTs. Statistics show that more than 90% of elderly people live independently and about 85% of them prefer to receive their health treatments in their homes provided that important health facilities are available [ 13 , 18 ]. Therefore, SHT could enhance the quality of life of elderly people [ 12 ], monitor and manage their daily health conditions [ 19 ], and reduce the cost of elderly’s health care and caregivers’ time [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

2022

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In recent years, smart home technologies have offered opportunities for elderly people to manage their daily health-related activities. Despite the advancement in smart home technology (SHT), the level of end-user acceptance among elderly people is still low. This study proposes an SHT framework by examining the determinants of elderly behavioural intention (BI) to use smart home technologies by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study uses the quantitative approach to survey about 486 elderly people in Saudi Arabia, and it applies the Partial Least Square Structural Equation Model (PLS-SEM) technique to perform the data analysis. Findings reveal that culture influence and technology awareness are significant factors in determining the BI to use SHT among elderly people. The study also finds that attitude mediates the relationships between performance expectancy, effort expectancy, and behavioural intention. We find that region and education moderate the relationships between culture influence, technology awareness, and behavioural intention. This study theoretically extends the UTAUT theory by including external constructs: culture influence, technology awareness, attitude, education, and region.

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Factors influencing informal carers' acceptance of assistive telecare systems in the pre‐ and post‐implementation phase: A scoping study

Cited by 13 publications

References 87 publications

Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study

Benefits of a Wearable Activity Tracker with Safety Features for Older Adults: An Intervention Study

How to create value with unobtrusive monitoring technology in home-based dementia care: a multimethod study among key stakeholders

Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

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